CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation (Englisch)
- Neue Suche nach: Tang, You-Bao
- Neue Suche nach: Oh, Sooyoun
- Neue Suche nach: Tang, Yu-Xing
- Neue Suche nach: Xiao, Jing
- Neue Suche nach: Summers, Ronald M.
- Neue Suche nach: Tang, You-Bao
- Neue Suche nach: Oh, Sooyoun
- Neue Suche nach: Tang, Yu-Xing
- Neue Suche nach: Xiao, Jing
- Neue Suche nach: Summers, Ronald M.
In:
Proc. SPIE
;
10950
; 109503V
;
2019
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ISBN:
-
ISSN:
- Aufsatz (Konferenz) / Elektronische Ressource
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Titel:CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation
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Beteiligte:Tang, You-Bao ( Autor:in ) / Oh, Sooyoun ( Autor:in ) / Tang, Yu-Xing ( Autor:in ) / Xiao, Jing ( Autor:in ) / Summers, Ronald M. ( Autor:in )
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Kongress:Medical Imaging 2019: Computer-Aided Diagnosis ; 2019 ; San Diego,California,United States
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Erschienen in:Proc. SPIE ; 10950 ; 109503V
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Verlag:
- Neue Suche nach: SPIE
-
Erscheinungsdatum:13.03.2019
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ISBN:
-
ISSN:
-
DOI:
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Medientyp:Aufsatz (Konferenz)
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Format:Elektronische Ressource
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Sprache:Englisch
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Datenquelle:
Inhaltsverzeichnis Konferenzband
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- 109504A
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Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancerHu, Qiyuan / Whitney, Heather M. / Edwards, Alexandra / Papaioannou, John / Giger, Maryellen L. et al. | 2019
- 109504B
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Acral melanocytic lesion segmentation with a convolution neural network (U-Net)Jaworek-Korjakowska, Joanna et al. | 2019
- 109504C
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Dose distribution as outcome predictor for Gamma Knife radiosurgery on vestibular schwannomaLangenhuizen, P. P. J. H. / van Gorp, H. / Zinger, S. / Verheul, H. B. / Leenstra, S. / de With, P. H. N. et al. | 2019
- 109504D
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Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT imagesWang, Tonghe / Lei, Yang / Shafai-Erfani, Ghazal / Jiang, Xiaojun / Dong, Xue / Zhou, Jun / Liu, Tian / Curran, Walter J. / Shu, Hui-Kuo / Yang, Xiaofeng et al. | 2019
- 109504E
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Use of a convolutional neural network for aneurysm identification in digital subtraction angiographyPodgoršak, Alexander R. / Bhurwani, Mohammad Mahdi / Rava, Ryan A. / Chandra, Anusha R. / Ionita, Ciprian N. et al. | 2019
- 109504F
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U-Net based automatic carotid plaque segmentation from 3D ultrasound imagesZhou, Ran / Ma, Wei / Fenster, Aaron / Ding, Mingyue et al. | 2019
- 109504G
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Machine learning for segmenting cells in corneal endothelium imagesKolluru, Chaitanya / Benetz, Beth A. / Joseph, Naomi / Menegay, Harry J. / Lass, Jonathan H. / Wilson, David et al. | 2019
- 109504H
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Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing modelsHan, Songyue / Tian, James / Kelly, Mark / Selvakumaran, Vignesh / Henao, Ricardo / Rubin, Geoffrey D. / Lo, Joseph Y. et al. | 2019
- 109504I
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Patient-specific outcome simulation after surgical correction of Pectus Excavatum: a preliminary studyCouto, Mafalda / Gomes-Fonseca, João / Moreira, António H. J. / Henriques-Coelho, Tiago / Fonseca, Jaime C. / Pinho, António C. M. / Correia-Pinto, Jorge / Vilaça, João L. et al. | 2019
- 1095001
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Front Matter: Volume 10950| 2019
- 1095002
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Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptationvan Vugt, Joris / Marchiori, Elena / Mann, Ritse / Gubern-Mérida, Albert / Moriakov, Nikita / Teuwen, Jonas et al. | 2019
- 1095003
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Detecting mammographically-occult cancer in women with dense breasts using deep convolutional neural network and Radon cumulative distribution transformLee, Juhun / Nishikawa, Robert M. et al. | 2019
- 1095004
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Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic imagesCha, Kenny H. / Petrick, Nicholas / Pezeshk, Aria / Graff, Christian G. / Sharma, Diksha / Badal, Andreu / Badano, Aldo / Sahiner, Berkman et al. | 2019
- 1095005
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Deep learning for identifying breast cancer malignancy and false recalls: a robustness study on training strategyClancy, Kadie / Zhang, Lei / Mohamed, Aly / Aboutalib, Sarah / Berg, Wendie / Wu, Shandong et al. | 2019
- 1095006
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Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancerAnderson, Rachel / Li, Hui / Ji, Yu / Liu, Peifang / Giger, Maryellen L. et al. | 2019
- 1095007
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Registration based detection and quantification of intracranial aneurysm growthBizjak, Žiga / Jerman, Tim / Likar, Boštjan / Pernuš, Franjo / Chien, Aichi / Špiclin, Žiga et al. | 2019
- 1095008
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Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocolBento , M. / Souza, R. / Salluzzi, M. / Frayne, R. et al. | 2019
- 1095009
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Automatic multi-modality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D U-NetGuo, Zhe / Guo, Ning / Gong, Kuang / Li, Quanzheng et al. | 2019
- 1095010
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Automatic multi-organ segmentation in thorax CT images using U-Net-GANLei, Yang / Liu, Yingzi / Dong, Xue / Tian, Sibo / Wang, Tonghe / Jiang, Xiaojun / Higgins, Kristin / Beitler, Jonathan J. / Yu, David S. / Liu, Tian et al. | 2019
- 1095011
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Polyp segmentation and classification using predicted depth from monocular endoscopyMahmood, Faisal / Yang, Ziyun / Chen, Richard / Borders, Daniel / Xu, Wenhao / Durr, Nicholas J. et al. | 2019
- 1095012
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Computer-aided classification of colorectal polyps using blue-light and linked-color imagingScheeve, Thom / Schreuder, Ramon-Michel / van der Sommen, Fons / IJspeert, Joep E. G. / Dekker, Evelien / Schoon, Erik J. / De With, Peter H. N. et al. | 2019
- 1095013
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Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonographyUemura, Tomoki / Näppi, Janne J. / Lu, Huimin / Kim, Hyoungseop / Tachibana, Rie / Hironaka, Toru / Yoshida, Hiroyuki et al. | 2019
- 1095014
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A local geometrical metric-based model for polyp classificationCao, Weiguo / Pomeroy, Marc J. / Pickhardt, Perry J. / Barish, Matthew A. / Stanly III, Samuel / Liang, Zhengrong et al. | 2019
- 1095015
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Polyp-size classification with RGB-D features for colonoscopyItoh, Hayato / Roth, Holger R. / Mori, Yuichi / Misawa, Masashi / Oda, Masahiro / Kudo, Shin-ei / Mori, Kensaku et al. | 2019
- 1095016
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Handling label noise through model confidence and uncertainty: application to chest radiograph classificationCalli, Erdi / Sogancioglu, Ecem / Scholten, Ernst Th. / Murphy, Keelin / van Ginneken, Bram et al. | 2019
- 1095017
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Classification of chest CT using case-level weak supervisionTang, Ruixiang / Islam Tushar, Fakrul / Han, Songyue / Hou, Rui / Rubin, Geoffrey D. / Lo, Joseph Y. et al. | 2019
- 1095018
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Deep adversarial one-class learning for normal and abnormal chest radiograph classificationTang, Yu-Xing / Tang, You-Bao / Han, Mei / Xiao, Jing / Summers, Ronald M. et al. | 2019
- 1095019
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Image biomarkers for quantitative analysis of idiopathic interstitial pneumoniaKim, Young-Wouk / Tarando, Sebastián Roberto / Brillet, Pierre-Yves / Fetita, Catalin et al. | 2019
- 1095020
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Homogenization of breast MRI across imaging centers and feature analysis using unsupervised deep embeddingSamala, Ravi K. / Chan, Heang-Ping / Hadjiiski, Lubomir / Paramagul, Chintana / Helvie, Mark A. / Neal, Colleen H. et al. | 2019
- 1095021
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Shape variation analyzer: a classifier for temporomandibular joint damaged by osteoarthritisRibera, Nina Tubau / de Dumast, Priscille / Yatabe, Marilia / Ruellas, Antonio / Ioshida, Marcos / Paniagua, Beatriz / Styner, Martin / Gonçalves, João Roberto / Bianchi, Jonas / Cevidanes, Lucia et al. | 2019
- 1095022
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Automatic detection and localization of bone erosion in hand HR-pQCTRen, Jintao / Moaddel H., Arash / Hauge, Ellen M. / Keller, Kresten K. / Jensen, Rasmus K. / Lauze, François et al. | 2019
- 1095023
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Spinal vertebrae segmentation and localization by transfer learningZhao, Jiashi / Jiang, Zhengang / Mori, Kensaku / Zhang, Liyuan / He, Wei / Shi, Weili / Miao, Yu / Yan, Fei / He, Fei et al. | 2019
- 1095024
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Ensembles of sparse classifiers for osteoporosis characterization in digital radiographsZheng, Keni / Jennane, Rachid / Makrogiannis, Sokratis et al. | 2019
- 1095025
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Multiclass vertebral fracture classification using ensemble probability SVM with multi-feature selectionZhang, Liyuan / Zhao, Jiashi / Yang, Huamin / Shi, Weili / Miao, Yu / He, Fei / He, Wei / Li, Yanfang / Zhang, Ke / Mori, Kensaku et al. | 2019
- 1095026
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Cranial localization in 2D cranial ultrasound images using deep neural networksTabrizi, Pooneh R. / Mansoor, Awais / Obeid, Rawad / Penn, Anna A. / Linguraru, Marius George et al. | 2019
- 1095027
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Learning imbalanced semantic segmentation through cross-domain relations of multi-agent generative adversarial networksRezaei, Mina / Yang, Haojin / Meinel, Christoph et al. | 2019
- 1095028
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Spatial and depth weighted neural network for diagnosis of Alzheimer’s diseaseLi, Qingfeng / Huo, Quan / Xing, Xiaodan / Zhan, Yiqiang / Zhou, Xiang Sean / Shi, Feng et al. | 2019
- 1095029
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Study on discrimination of Alzheimer’s disease states using an ensemble neural network’s modelEom, Junsik / Jang, Hanbyol / Kim, Sewon / Jang, Jinseong / Hwang, Dosik et al. | 2019
- 1095030
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Longitudinal matching of in vivo adaptive optics images of fluorescent cells in the human eye using stochastically consistent superpixelsLiu, Jianfei / Jung, HaeWon / Liu, Tao / Tam, Johnny et al. | 2019
- 1095031
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Computer-based detection of age-related macular degeneration and glaucoma using retinal images and clinical dataJoshi, Vinayak / Wigdahl, Jeffrey / Benson, Jeremy / Nemeth, Sheila / Soliz, Peter et al. | 2019
- 1095032
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Fully-automated segmentation of optic disk from retinal images using deep learning techniquesZabihollahy, F. / Ukwatta, E. et al. | 2019
- 1095034
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Deep learning-based detection of anthropometric landmarks in 3D infants head modelsTorres, Helena R. / Oliveira, Bruno / Veloso, Fernando / Ruediger, Mario / Burkhardt, Wolfram / Moreira, António / Dias, Nuno / Morais, Pedro / Fonseca, Jaime C. / Vilaça, João L. et al. | 2019
- 1095035
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Quantitative evaluation of local head malformations from 3 dimensional photography: application to craniosynostosisTu, Liyun / Porras, Antonio R. / Oh, Albert / Lepore, Natasha / Buck, Graham C. / Tsering, Deki / Enquobahrie, Andinet / Keating, Robert / Rogers, Gary F. / Linguraru, Marius George et al. | 2019
- 1095036
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Predicting resection volumes within the nasal cavity to improve patients breathingBerger, Manuel / Pillei, Martin / Mehrle, Andreas / Recheis, Wolfgang / Kral, Florian / Kraxner, Michael / Freysinger, Wolfgang et al. | 2019
- 1095038
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Automated scoring of aortic calcification in vertebral fracture assessment imagesChaplin, Luke / Cootes, Tim et al. | 2019
- 1095039
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Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learningFuhrman, Jordan D. / Crosby, Jennie / Yip, Rowena / Henschke, Claudia I. / Yankelevitz, David F. / Giger, Maryellen L. et al. | 2019
- 1095040
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Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancerWang, Shou / Chen, Xi / Liu, Zhenyu / Wu, Qingxia / Zhu, Yongbei / Wang, Meiyun / Tian, Jie et al. | 2019
- 1095041
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Temporal mammographic registration for evaluation of architecture changes in cancer risk assessmentMendel, Kayla / Li, Hui / Tayob, Nabihah / El-Zein, Randa / Bedrosian, Isabelle / Giger, Maryellen et al. | 2019
- 1095042
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PI-RADS guided discovery radiomics for characterization of prostate lesions with diffusion-weighted MRIKhalvati, Farzad / Zhang, Yucheng / Le, Phuong H. U. / Gujrathi, Isha / Haider, Masoom A. et al. | 2019
- 1095043
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Non-invasive transcriptomic classification of de novo Glioblastoma patients through multivariate quantitative analysis of baseline preoperative multimodal magnetic resonance imagingRathore, Saima / Akbari, Hamed / Bakas, Spyridon / Pisapia, Jared / Da, Xiao / O’Rourke, Donald M. / Davatzikos, Christos et al. | 2019
- 1095044
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Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young womenLi, Qinmei / Dormer, James / Daryani, Priyanka / Chen, Deji / Zhang, Zhenfeng / Fei, Baowei et al. | 2019
- 1095046
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General purpose radiomics for multi-modal clinical researchWels, Michael G. / Lades, Félix / Muehlberg, Alexander / Suehling, Michael et al. | 2019
- 1095047
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Quantitative MRI biomarker for treatment response assessment of multiple myeloma: robustness evaluation using independent test set of prospective casesZhou, Chuan / Dong, Qian / Chan, Heang-Ping / Campagnaro, Erica L. / Wei, Jun / Hadjiiski, Lubomir M. et al. | 2019
- 1095048
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Machine-learning-based classification of Glioblastoma using MRI-based radiomic featuresCui, Ge / Jeong, Jiwoong Jason / Lei, Yang / Wang, Tonghe / Liu, Tian / Curran, Walter J. / Mao, Hui / Yang, Xiaofeng et al. | 2019
- 1095049
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Prediction of low-grade glioma progression using MR imagingShboul, Zeina A. / Iftekharuddin, Khan M. et al. | 2019